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Summary

This study validates using voice quality (VoQ) and prosody to transform neutral speech into expressive styles. Results show VoQ modeling enhances synthetic speech quality and style identification.

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Area of Science:

  • Speech processing
  • Acoustic phonetics
  • Human-computer interaction

Background:

  • Expressive synthetic speech generation often relies on prosodic features (F0, duration, energy).
  • The role of voice quality (VoQ) parameters in enhancing expressive speech synthesis remains less explored.
  • Modeling expressive speech styles requires robust parameterization techniques.

Purpose of the Study:

  • To validate a methodology for transforming neutral speech into various expressive styles using voice quality (VoQ) and prosodic parameters.
  • To assess the contribution of VoQ modeling, alongside prosody, in improving synthetic speech quality.
  • To evaluate the effectiveness of VoQ and prosody in enhancing the identification of expressive speech styles.

Main Methods:

  • Perceptual experiments were designed to evaluate the synthesized speech.
  • A harmonic plus noise model (HNM) was employed to modify extracted VoQ and prosodic features.
  • Speech data was transformed from a neutral style to multiple expressive styles.

Main Results:

  • Perception tests confirmed the improvement in synthesized expressive speech quality.
  • The inclusion of VoQ modeling alongside prosodic characteristics led to better style identification.
  • The methodology effectively transformed neutral speech into distinct expressive styles.

Conclusions:

  • Voice quality (VoQ) parameter modeling is a valuable addition to prosody for creating expressive synthetic speech.
  • The validated methodology enhances both the perceived quality and style distinctiveness of synthesized speech.
  • This research contributes to more natural and engaging speech synthesis systems.